Comparison
Salesforce Retention Without Breaking Related Records
Enforce retention with policy-scheduled, cascade-aware deletion that exempts legal holds and active contracts. Build-vs-buy favors a managed AppExchange package over hand-rolled Flow or Apex once relationships and audit proof matter.
Set your retention rules once. We handle every deletion, on schedule, with a full audit trail.
Your data never leaves Salesforce.
What breaks when you delete “old” Salesforce records
Salesforce stores related records as a graph, not as isolated rows. Deleting a Contact, Account, or Case can cascade into Opportunities, Cases, Contracts, and custom children — or leave orphans that break reports and integrations.
Custom lookup cascade delete is not a free admin toggle. Salesforce documents that enabling cascade delete on a custom lookup requires Support enablement. Teams that treat “delete old records” as a bulk SOQL job discover the failure in production: related revenue history gone, case threads incomplete, or contract evidence missing when legal asks for it.
Retention that ignores relationships is not retention. It is uncontrolled deletion.
Storage limitation vs right-to-erasure
Do not conflate schedule-driven retention with request-driven erasure.
General Data Protection Regulation (GDPR) Article 5(1)(e) requires personal data be kept in a form that permits identification of data subjects for no longer than necessary for the purposes for which the data are processed (storage limitation). Article 5(1)(c) requires data minimisation — adequate, relevant, and limited to what is necessary.
California Consumer Privacy Act (CCPA) / California Privacy Rights Act (CPRA) (Cal. Civ. Code 1798.100) requires businesses to disclose retention periods or criteria, and not retain personal information longer than reasonably necessary for disclosed purposes.
Those obligations drive policy schedules: delete or anonymise classes of records after a defined period or event.
A DSAR or right-to-erasure request is different. It is request-driven, subject-specific, and time-bound by the request — not by a quarterly purge calendar. Cloud Compliance documents DSAR fulfilment separately (Privacy Rights how it works — request-driven, not schedule-driven). Retention schedules do not replace DSARs. DSARs do not replace retention schedules.
For the legal framing of retention itself, see Salesforce data retention requirements and What is data minimization.
Flow vs scheduled Apex vs AppExchange
| Dimension | Flow | Scheduled Apex / custom scripts | Managed AppExchange retention (Data Retention Manager) |
|---|---|---|---|
| Policy model | Hard to express multi-object, multi-country rules at scale | Rules buried in code | Declarative policies in Retention_Policy__c |
| Governor limits | Hit DML / CPU / heap under volume | Custom Apex hits 10K DML rows, heap, and CPU; you own retries | Batch execute with chunking and progress tracking |
| Cascade + exceptions | Fragile across Master-Detail and lookups | Cascade + exceptions (active contracts, holds) are fragile across classes | Cascade-aware deletion; Master-Detail handled; excludes active contracts / litigation holds |
| Legal holds | Easy to miss in every path | Easy to miss in every path | Litigation hold freezes records before execute |
| Audit proof | Ad hoc logs / spreadsheets | Ad hoc logs / spreadsheets | Native Deletion_Audit_Log__c per run |
| Maintenance | Breaks on object / release change | Engineering owns every Salesforce release | Managed package; declarative policies + native audit objects |
Mechanism on Data Retention Manager: policies live in Retention_Policy__c → evaluate → cascade check → batch execute → write Deletion_Audit_Log__c. Litigation hold freezes records so schedule jobs do not dispose evidence under preservation.
Search results for this problem are dominated by platform documentation and archive categories (Privacy Center–class tools, Archive products, Trailhead). On AppExchange, buyers also surface Salesforce Archive, DataArchiva, and GRAX. Evaluate each against cascade rules, hold exemptions, and audit objects — not feature count alone.
Deep dive on the run pipeline: How Data Retention works. Product overview: Data Retention.
Cascade rules that keep Opps / Cases / Contracts intact when required
Cascade-aware retention inspects related records before a parent delete. Master-Detail relationships are handled so children are not accidentally destroyed — or left in a state that breaks business history.
Typical policy patterns (configure to match counsel’s mandate):
- Delete the Contact; anonymise the related Case
- Keep the Contract while active; hold Contact deletion until the contract closes
- Delete closed Cases; preserve Opportunity records linked to open Contracts
The point is not “delete everything old.” The point is delete what the policy allows without destroying records the business or counsel still needs.
Litigation / legal holds and other hard exemptions
When a litigation or legal hold is active, affected records must be exempt from deletion regardless of age or retention schedule. Data Retention Manager supports litigation hold flags that freeze records until the hold is released.
Other hard exemptions commonly paired with holds:
- Active contracts (financial services pattern: do not anonymise or delete while
Contract_Status__c= Active) - Jurisdiction- or object-specific schedules stored as policy records, not hard-coded Apex
A schedule that cannot honor a hold is not regulator-ready automation. It is a liability script.
What a regulator-ready deletion audit log must contain
Auditors ask for proof of disposal, not a slide about intent. Data Retention Manager logs every deletion to the Salesforce-native object Deletion_Audit_Log__c. A regulator-ready entry includes:
| Field | Why it matters |
|---|---|
| Record ID | Which row was disposed |
| Object type | Which Salesforce object |
| Deletion timestamp | When disposal occurred |
| User / system | Who or what executed the run |
| Business rule triggered | Which retention policy fired |
| Field values before deletion | Pre-state for chain of custody |
| Deletion status | Outcome of the attempt |
Export from Salesforce (PDF or CSV) for submission. Full documentation: Audit trail.
When DIY is enough vs when managed retention wins
DIY (Flow or scheduled Apex) can be enough when:
- Volume is small and single-object
- No meaningful Master-Detail / lookup cascade risk
- No litigation-hold or active-contract exceptions
- Legal will accept informal logs for a while
- Engineering capacity exists to own governors, retries, and every release
Managed retention wins when:
- Leadership or legal delivered a retention mandate across objects and orgs
- Related records (Opps, Cases, Contracts) must survive when required
- Holds and active contracts are hard exemptions
- You need Salesforce-native audit objects, not spreadsheets
- Custom Apex already hits 10K DML / heap / CPU walls, or cascade exceptions keep breaking
Buyer context: an IT admin or Salesforce architect tasked by leadership, with legal delivering the retention mandate. They need mechanism and proof — not urgency copy.
Frequently Asked Questions
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Policy setup, cascade behaviour, and regulator-ready audit export. 30 minutes.